物理的な検証の複雑度

By Nitin Navale, CAD Manager, Xilinx, San Jose, U.S.A.

Larger, more complex silicon designs are straining verification methodologies and slowing time to results and time to market. Xilinx engineers wanted to leverage big-data analytics to simplify their verification flow on leading-edge chips, and they looked to Ansys for answers.

Many of today’s rapidly evolving applications — be they in artificial intelligence, autonomous vehicles, infrastructure or high-performance computing (HPC) — rely on leading-edge field-programmable gate arrays (FPGAs) for their performance and flexibility.

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Elastic Compute & Big Data  Analytics Tackle Physical Verification Complexity